Changes in Malaria Indices in an Ethiopian Health Centre: A Five Year Retrospective Analysis

Abstract

The present communication discusses the five year retrospective analysis about the changes in malaria indices in a typical Ethiopian health center. Reading this article recommended to active health education campaigns and the administration of front-line vector control interventions to interrupt disease transmission and an eventual reduction in the number of malaria cases.Africa is often regarded as poor, uneducated, or unaware of the risks, with an inadequate social infrastructure, all of which makes them more prone to malaria (2). Despite currently available interventions, malaria remains a major public health problem worldwide. It has been reported that approximately half of the world's population is at risk of malaria with nearly one million deaths every BackgroundInsect-borne disease imposesan enormous burden on the world's population in terms of loss of life (millions of death per year) and morbidity. These diseases are also responsible for huge economic losses, both in terms of health-care costs and lost productivity, mostly in countries that can least afford them (1). The rural population in Background: Malaria affects the health and wealth of individuals, as well as nations. In Ethiopia, malaria is identified as both a disease of poverty and a cause of poverty. Objectives: A retrospective analysis was conducted to investigate the changes in malaria indices at the Serbo Health Center, Ethiopia. Materials and Methods: Based on existing blood smear examination data. The original case records were carefully reviewed, analyzed and interpreted. Results: Among the total of 51610 blood smear examinations, 26602 were found to be positive and contributed to 51.5% of the diagnostic yield. All of the 51610 cases were treated at the Serbo Health Center. Males constituted a total of 56.1% participants in this study (14934/26602 cases) and they were found to be more prone to having a positive malaria smear. Chi-square analysis showed a statistically significant association between male patients and the incidence of malaria (P = 0.0001; χ 2 = 212.5; df = 4). Plasmodium falciparum contributes to about 62.4% of malaria cases followed by P vivax (37.3%). Conclusions: There is an urgent need for active health education campaigns and the administration of front-line vector control interventions such as the consistent deployment of insecticide-treated bed-nets and indoor residual spraying to interrupt disease transmission and an eventual reduction in the number of malaria cases.

Ten Years Trend Analysis of Malaria Prevalence and its Correlation with Climatic Variables in Sibu Sire District, East Wollega Zone, Oromia Regional state, Western Ethiopia: A Retrospective Study

“…P. falciparum was the predominant species followed by P. vivax in the study area and the prevalence rate accounted for 3991(66.1%) and1842 (30.5%) respectively. The study conducted in Sarbo, Kola Diba, Butajira health center and Metema Hospital by (Abebe et al, 2012;Karunamoorthi and Bekele, 2012;Solomon et al, 2012;Getachew et al, 2013) almost similar to these results. Other earlier studies have also documented the predominance of P. falciparum species in many places of Ethiopia.…”

Correlation of climate variability and malaria: A retrospective comparative study, Southwest Ethiopia

“…Twenty-seven other kebeles (villages) of Kersa District, excluding Dogoso and Siba, are malarious of which 21 are labeled as high risk villages and eight of these high risk kebeles designated as control site. A previous study also indicated that the prevalence of malaria was high in the control site ( 27 ). Like GGHD areas, all those villages have health posts staffed with health extension workers; the residents had similar living patterns.…”

“…This study examined the correlation between three major climatic variables which are known to affect the dynamics of malaria (rainfall, relative humidity and temperature) and both monthly number of all types of confirmed malaria as well as P. falciparium malaria. Although the GGHD site is situated at slightly lower altitude range, both sites are found within malaria risk altitude ranges ( 24 , 27 ), the number of malaria cases was higher in the control site possibly due to plenty of rainfall over the period considered compared to GGHD site. The correlation of persistent malaria transmission with such continuous higher level of rainfall is in agreement with the prediction model of malaria transmission in Africa ( 20 , 30 ).…”

The Experiences of Mobile Populations About Malaria Control in Southeastern Iran Using the PEN-3 Cultural Model: A Qualitative Study

“…2019; 8(3):e81615. and socioeconomic indicators of malaria to control strategies (31). Access to facilities can play a major role in reducing the local transmission of malaria.…”